About – ATMAN

Here's Who I Am. What I Believe. How I Work ...

... and how you'd fit in.

Why ATMAN

Beginning always with a serve, and ending always on winner or error, tennis is a game of situations repeated, again and again.

Repetition reveals patterns: A single point says little, but a whole match begins to speak. Over an entire career, winning 50% of points makes for a perennial contender, winning 55% of points makes for 20 grand slams. Repetition magnifies fine margins.

But fine margins defy lazy analysis. There is no general formula. There is no room for bias. There is never enough data.

Actionable, player-specific insights require scrutiny, depth, and impartial rigour.

With ATMAN, you'd be getting exactly this. You'd be getting all the data at your fingertips, automatically. You'd be getting a tool to dig deep, identify patterns, present insights. You'd be getting all of it, in one framework.

What We Offer

ATMAN has just launched. It can do many things, and I fully believe in it, but it is not a finished product.

This is why my first client receives my full and undivided attention.

I intend to work with one client. Exclusively. On site. For as long as it takes.

The client defines the key questions and benefits from existing functionality. Meanwhile, ATMAN evolves, tailor-made to the client's needs. However ATMAN and I can assist you already, we will do it from the get-go. Whatever you require ATMAN to be, will become the number one priority in development.

Let's Collaborate!

Who I Am

I am Gianluca Vagliano, founder and sole developer of ATMAN.

Trained as economist, I've been doing statistical modelling my entire professional career. As a consultant, I've forecasted car battery failure rates, and projected shopper behaviour in supermarkets. I've built a model to predict and bet on horse races in France. I've modelled agricultural yields in Kenya.

In 2023, I left my job at the European Central Bank, where I was working on a eurozone banking model, to dedicate myself to a passion: modelling tennis, the sport that I love. To understand patterns at scale, without bias, one needs granular, shot-by-shot data. Speed, spin, and location. So I built ATMAN, the automated tennis match annotator.

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